{"id":"W4394738321","doi":"10.2450/bloodtransfus.606","title":"Development and evaluation of trigger tools to identify pediatric blood management errors.","year":2024,"lang":"en","type":"article","venue":"PubMed","topic":"Blood transfusion and management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Children's Healthcare of Atlanta","keywords":"Medicine; Blood management; Adverse effect; Medical emergency; Emergency medicine; Intensive care medicine; Blood transfusion; Pediatrics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01687521,0.001484312,0.0008457224,0.005263683,0.0004525351,0.001672697,0.001929554,0.0009517831,0.00112315],"category_scores_gemma":[0.05754159,0.0005570063,0.001156972,0.001625375,0.0003693448,0.001629337,0.001259127,0.0007588349,0.0005358186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449619,"about_ca_system_score_gemma":0.003580352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004706677,"about_ca_topic_score_gemma":0.004824144,"domain_scores_codex":[0.9899452,0.003899407,0.001780394,0.001619052,0.002415376,0.0003404877],"domain_scores_gemma":[0.9195578,0.05149591,0.01083541,0.002692418,0.01414674,0.001271733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149926,0.001257602,0.5500597,0.001657029,0.0005899779,0.0004302139,0.001717497,0.02071966,0.007917301,0.0008173513,0.01007763,0.4036061],"study_design_scores_gemma":[0.0007867457,0.004438846,0.4228952,0.000979134,0.001010257,0.00180607,0.001546132,0.5046661,0.04233996,0.002131643,0.01716938,0.0002306082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200321,0.001935328,0.2394744,0.00108651,0.0001476229,0.007497966,0.009607126,0.01601613,0.004202798],"genre_scores_gemma":[0.5281993,0.0003083825,0.4608435,0.0002578008,0.00004357986,0.002094671,0.007544941,0.000190925,0.0005168923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687521,"threshold_uncertainty_score":0.08924568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06908942768456451,"score_gpt":0.3158269026602599,"score_spread":0.2467374749756954,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}